Project description:Microarray was used to find out the differentially expressed miRNAs in Alcoholic Chronic Pancreatitis as compared to healthy control. Resulting miRNAs could be further used to understand the disease as well as could act as secretory biomarker.
Project description:Autoimmune pancreatitis (AIP) is a disease with unclear immunologic triggers. This study shows that the pancreatic stellate cells(PSCs) are involved in the regulation of the immune response and can cause autoimmunity when the NF-κB signalling in these cells is disrupted. The PSCs were isolated from animals which show autoimmune pancreatitis (NEMO knockout group) or chronic pancreatitis (NEMO wildtype group).
Project description:Autoimmune pancreatitis (AIP) is a recently identified disease of the pancreas with unknown etiology and antigens. The aim of this study was to determine new target antigens and differentially regulated genes and proteins by means of transcriptomics and proteomics and to validate them in patients with autoimmune pancreatitis. Here we report a distinct downregulation at the RNA and protein level of pancreatic proteases (anionic trypsinogen, cationic trypsinogen, mesotrypsinogen, elastase IIIB) and pancreatic stone protein in autoimmune pancreatitis in comparison to alcohol-induced chronic pancreatitis.
Project description:The crucial roles of miRNAs have been implicated in various pathological processes, including pancreatitis. However, roles of miRNAs in hypertriglyceridemia-associated pancreatitis have not been reported. Pancreatitis tissue from mice with or without hypertriglyceridemia were analyzed for microRNA profiling. Using qPCR verification, we further identified miR-153 as the most upregulated miRNA in mice with hypertriglyceridemia. This work provide potential therapeutic targets for the treatment of hypertriglyceridemia-associated pancreatitis.
Project description:MicroRNAs in body fluids are becoming interesting markers for disease state. Here we assessed their presence in Mesenteric Lymph to identify candidate biomarkers for pancreatitis using a rat model of the disease. We used Affymetrix microRNA arrays to assess the differences in mesenteric lymph fluid miRNAs in a taurocholate induced rat model of pancreatitis Mesenteric lymph was collected from five biological replicates from control sham operated animals (SHAM), fluid resuscitated taurocholate induced acute pancreatitis (RAP) and non-resuscitated taurocholate induced pancreatitis animals (AP). The latter group represent a more severe form of the disease.
Project description:A frequently used experimental model of chronic pancreatitis (PC) recapitulating human disease is repeated injection of cerulein to mice. We found that two common substrains of C57BL/6 , C56BL/6J (Jackson) and C57BL/6NHsd (Harlan), exhibit different degree of CP with C57BL/6J beeing more susceptible to repetitive cerulein induced CP. The goal of this study was to identify genes associated with CP and also to identify genes differentially regulated between two substrains as candidates for the CP progression. RNAs were isolated from the pancreas of 8-week old Jackson and Harlan mice after the cerulein induction of chronic pancreatitis and hybridized on Affymetrix microarrays. Saline injected mice were used as controls. Three mice from each experimental and control groups were used in the experiment.
Project description:MicroRNAs in body fluids are becoming interesting markers for disease state. Here we assessed their presence in Mesenteric Lymph to identify candidate biomarkers for pancreatitis using a rat model of the disease. We used Affymetrix microRNA arrays to assess the differences in mesenteric lymph fluid miRNAs in a taurocholate induced rat model of pancreatitis
Project description:Age-standardized incidence rates for pancreatic cancer (PC) in men have increased by 25% from 1957 to 2011 in Finland. The average age of diagnosis for PC is 69 years in Nordic males, whereas the average age of diagnosis of chronic pancreatitis (CP) is 40-50 years, but the cases overlap in age. By radiology the evaluation of a pancreatic mass, i.e. the differential diagnosis between CP and PC is often difficult. Preoperative needle biopsies are difficult to obtain and are demanding to interpret. New blood based biomarkers are needed. The accuracy of the only established biomarker for PC, CA 19-9 is rather poor in differentiating between benign and malignant mass of the pancreas. In this study, we have performed mass spectrometry HDMSE analysis of serum samples from patients with chronic pancreatitis and pancreatic cancer. We have quantified 652 proteins and performed detailed statistical analysis such as principal component analysis, orthogonal partial least square discriminant analysis and receiver operating curve analysis.